Dmitry Kropotov - researchr alias

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Viewing Publication 1 - 17 from 17

2023

MARS: Masked Automatic Ranks Selection in Tensor DecompositionsMaxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov. aistats 2023: 3718-3732 [doi]

Handwritten Text Recognition and Browsing in Archive of Prisoners' Letters from Smolensk Convict PrisonNikita Lomov, Dmitry Kropotov, Danila Stepochkin, Anton Laptev. aist 2024: 227-240 [doi]

2022

Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning AlgorithmEvgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev. icl, 26(4):818-822, 2022. [doi]

2020

A Randomized Coordinate Descent Method with Volume SamplingAnton Rodomanov, Dmitry Kropotov. siamjo, 30(3):1878-1904, 2020. [doi]

2018

Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train DecompositionPavel Izmailov, Alexander Novikov, Dmitry Kropotov. aistats 2018: 726-735 [doi]

2016

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite SumsAnton Rodomanov, Dmitry Kropotov. icml 2016: 2597-2605 [doi]

2010

Variational Relevance Vector Machine for Tabular DataDmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Hassner. jmlr, 13:79-94, 2010. [doi]

An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain SliceAnton Osokin, Dmitry Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin V. Anokhin. cibb 2011: 86-97 [doi]

2009

3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain AtlasAnton Osokin, Dmitry Vetrov, Dmitry Kropotov. cibb 2010: 291-303 [doi]

2007

On one method of non-diagonal regularization in sparse Bayesian learningDmitry Kropotov, Dmitry Vetrov. icml 2007: 457-464 [doi]

Fuzzy Rules Generation Method for Pattern Recognition ProblemsDmitry Kropotov, Dmitry Vetrov. wilf 2007: 203-210 [doi]

2006

The Use of Stability Principle for Kernel Determination in Relevance Vector MachinesDmitry Kropotov, Dmitry Vetrov, Nikita Ptashko, Oleg Vasiliev. iconip 2006: 727-736 [doi]

On Kernel Selection in Relevance Vector Machines Using Stability PrincipleDmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry Vetrov. icpr 2006: 233-236 [doi]

2005

The Use of Bayesian Framework for Kernel Selection in Vector Machines ClassifiersDmitry Kropotov, Nikita Ptashko, Dmitry Vetrov. ciarp 2005: 252-261 [doi]

2004

An Algorithm for Rule Generation in Fuzzy Expert SystemsDmitry Kropotov, Dmitry Vetrov. icpr 2004: 212-215 [doi]

Data Dependent Classifier Fusion for Construction of Stable Effective AlgorithmsDmitry Vetrov, Dmitry Kropotov. icpr 2004: 144-147 [doi]

2003

One Approach to Fuzzy Expert Systems ConstructionDmitry Kropotov, Dmitry Vetrov. ICEIS 2003: 566-570

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